#python #arxiv #latex
The `arxiv_latex_cleaner` tool helps you prepare your LaTeX paper for submission to arXiv. It cleans your LaTeX code by removing unnecessary files, comments, and unused images, and it can also resize images to fit within the 50MB size limit. Here’s how it benefits you It removes comments and auxiliary files, keeping your code private.
- **Size** You can configure it using a simple YAML file or command-line options.
- **Customization**: You can define custom rules to replace specific LaTeX commands or environments.
Overall, it makes submitting your paper to arXiv much easier and ensures your submission meets the required standards.
https://github.com/google-research/arxiv-latex-cleaner
The `arxiv_latex_cleaner` tool helps you prepare your LaTeX paper for submission to arXiv. It cleans your LaTeX code by removing unnecessary files, comments, and unused images, and it can also resize images to fit within the 50MB size limit. Here’s how it benefits you It removes comments and auxiliary files, keeping your code private.
- **Size** You can configure it using a simple YAML file or command-line options.
- **Customization**: You can define custom rules to replace specific LaTeX commands or environments.
Overall, it makes submitting your paper to arXiv much easier and ensures your submission meets the required standards.
https://github.com/google-research/arxiv-latex-cleaner
GitHub
GitHub - google-research/arxiv-latex-cleaner: arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv - google-research/arxiv-latex-cleaner
#python #arxiv #automation #e_mail #github_action #paper #recommendation #research #zotero
You can get daily emails recommending new arXiv research papers that match your interests by linking your Zotero library with the Zotero-arXiv-Daily tool. It automatically finds relevant papers based on what you have saved in Zotero, summarizes them with AI-generated short descriptions, and sends you links to PDFs and code if available. This service is free, easy to set up on GitHub with minimal configuration, and runs automatically every day, saving you time and effort in keeping up with new scientific papers tailored to your research areas. It helps you stay updated without manually searching arXiv[1].
https://github.com/TideDra/zotero-arxiv-daily
You can get daily emails recommending new arXiv research papers that match your interests by linking your Zotero library with the Zotero-arXiv-Daily tool. It automatically finds relevant papers based on what you have saved in Zotero, summarizes them with AI-generated short descriptions, and sends you links to PDFs and code if available. This service is free, easy to set up on GitHub with minimal configuration, and runs automatically every day, saving you time and effort in keeping up with new scientific papers tailored to your research areas. It helps you stay updated without manually searching arXiv[1].
https://github.com/TideDra/zotero-arxiv-daily
GitHub
GitHub - TideDra/zotero-arxiv-daily: Recommend new arxiv papers of your interest daily according to your Zotero libarary.
Recommend new arxiv papers of your interest daily according to your Zotero libarary. - TideDra/zotero-arxiv-daily
#python #academia #anthropic #arxiv #brave #deep_research #encryption #home_automation #homeserver #local #local_deep_research #local_llm #mistral #ollama #openai #pubmed #research #research_tool #retrieval_augmented_generation #searxng #self_hosted
Local Deep Research is a free, open-source AI tool you run locally for private, deep research on any topic. It auto-searches the web, academic papers (arXiv, PubMed), and your documents using LLMs like Ollama or GPT, then synthesizes cited reports in minutes. Install easily via Docker or pip, build an encrypted knowledge base from downloads, and get 95% accuracy. Benefits: total privacy (no tracking), zero cost for local models, customizable strategies, and compounding knowledge—saving hours on complex queries while owning your data.
https://github.com/LearningCircuit/local-deep-research
Local Deep Research is a free, open-source AI tool you run locally for private, deep research on any topic. It auto-searches the web, academic papers (arXiv, PubMed), and your documents using LLMs like Ollama or GPT, then synthesizes cited reports in minutes. Install easily via Docker or pip, build an encrypted knowledge base from downloads, and get 95% accuracy. Benefits: total privacy (no tracking), zero cost for local models, customizable strategies, and compounding knowledge—saving hours on complex queries while owning your data.
https://github.com/LearningCircuit/local-deep-research
GitHub
GitHub - LearningCircuit/local-deep-research: ~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs…
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local &...